Podcasts about yoshua

Pour entamer 2025, nous ferons un retour sur l'Épisode 100 – avec Yoshua Bengio! Avec mes collaborateurs et baristIAs (Fred et Stephane), nous revenons sur les propos de Yoshua, nous discutons des thèmes abordés, et nous partageons nos réflexions, critiques et analyses.  Au programmeBoucle d'or : bébé ours, maman ours… et le Grizzly !Alignement moral de l'IA avec « Nos valeurs » – les valeurs de qui?La modération de contenu automatisée, et la gestion du risque : 20 filtres de sécurité d'Open AI-o1 passés au bistouri.L'industrie de l'IA, ses infrastructures, et les rapports de forces géopolitiques.L'encadrement démocratiquement de la marche inarrêtable du GAFAM vers une IA générale forte.Libéralisme, « illibéralisme » et «broligarchie» technologique.Le contrôle de l'IA et le contrôle des masses. L'émergence des agents IA autonomes, l'iniquité d'accès aux technologies et la répartition juste des bénéfices de l'IA.Sciences ouvertes et fiducies de données publiques.Bonne écoute!Production et animation: Jean-François Sénéchal, Ph.DInvité: Stéphane Minéo, Fredérick PlamondonCollaborateurs et collaboratrices:  Véronique Tremblay, Stéphane Minéo, Fredérick Plamondon, Shirley Plumerand, Sylvain Munger Ph.D, Ève Gaumond, David Beauchemin.OBVIA Observatoire international sur les impacts sociétaux de l'intelligence artificielleDisclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the show

Listen to Katie and Stuart who had the pleasure of talking to Yoshua Greenfield, who is a holistic lifestyle guide who helps people reconnect with their authentic selves through practices like mindful cooking, barefoot living, and music as a tool for healing. He offers workshops, retreats, and free resources that promote simplicity, self-awareness, and living in alignment with nature. His teachings focus on questioning societal norms and embracing a life of truth and mindfulness. He's also all about that barefoot lifestyle, so join them and listen to this awesome conversation! Yoshua was not raised this way 3:10The false belief of the shoe 14:20His plan with the homestead 25:20Music 30:00Always teaching, sharing, and inspiring 35:30Your feet won't be as callused as you think 40:00Get connected with Yoshua Greenfield 44:00“I just started getting so many questions. What do you do about glass? What do you do about cactus? What do you do about snow? I just started researching it and offering people advice. I'm no expert by any means, but this is my experience and if it makes sense to you, cool.” 36:28Instagram: @youenjoylifewww.fermentingwithyourfriend.comwww.youenjoylife.usyouenjoy.life

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Can a Bayesian Oracle Prevent Harm from an Agent? (Bengio et al. 2024), published by Matt MacDermott on September 1, 2024 on The AI Alignment Forum. Yoshua Bengio wrote a blogpost about a new AI safety paper by him, various collaborators, and me. I've pasted the text below, but first here are a few comments from me aimed at an AF/LW audience. The paper is basically maths plus some toy experiments. It assumes access to a Bayesian oracle that can infer a posterior over hypotheses given data, and can also estimate probabilities for some negative outcome ("harm"). It proposes some conservative decision rules one could use to reject actions proposed by an agent, and proves probabilistic bounds on their performance under appropriate assumptions. I expect the median reaction in these parts to be something like: ok, I'm sure there are various conservative decision rules you could apply using a Bayesian oracle, but isn't obtaining a Bayesian oracle the hard part here? Doesn't that involve advances in Bayesian machine learning, and also probably solving ELK to get the harm estimates? My answer to that is: yes, I think so. I think Yoshua does too, and that that's the centre of his research agenda. Probably the main interest of this paper to people here is to provide an update on Yoshua's research plans. In particular it gives some more context on what the "guaranteed safe AI" part of his approach might look like -- design your system to do explicit Bayesian inference, and make an argument that the system is safe based on probabilistic guarantees about the behaviour of a Bayesian inference machine. This is in contrast to more hardcore approaches that want to do formal verification by model-checking. You should probably think of the ambition here as more like "a safety case involving proofs" than "a formal proof of safety". Bounding the probability of harm from an AI to create a guardrail Published 29 August 2024 by yoshuabengio As we move towards more powerful AI, it becomes urgent to better understand the risks, ideally in a mathematically rigorous and quantifiable way, and use that knowledge to mitigate them. Is there a way to design powerful AI systems based on machine learning methods that would satisfy probabilistic safety guarantees, i.e., would be provably unlikely to take a harmful action? Current AI safety evaluations and benchmarks test the AI for cases where it may behave badly, e.g., by providing answers that could yield dangerous misuse. That is useful and should be legally required with flexible regulation, but is not sufficient. These tests only tell us one side of the story: If they detect bad behavior, a flag is raised and we know that something must be done to mitigate the risks. However, if they do not raise such a red flag, we may still have a dangerous AI in our hands, especially since the testing conditions might be different from the deployment setting, and attackers (or an out-of-control AI) may be creative in ways that the tests did not consider. Most concerningly, AI systems could simply recognize they are being tested and have a temporary incentive to behave appropriately while being tested. Part of the problem is that such tests are spot checks. They are trying to evaluate the risk associated with the AI in general by testing it on special cases. Another option would be to evaluate the risk on a case-by-case basis and reject queries or answers that are considered to potentially violate or safety specification. With the long-term goal of obtaining a probabilistic guarantee that would apply in every context, we thus consider in this new paper (see reference and co-authors below) the objective of estimating a context-dependent upper bound on the probability of violating a given safety specification. Such a risk evaluation would need to be performed at ru...

The launch of ChatGPT broke records in consecutive months between December 2022 and February 2023. Over 1 billion users a month for ChatGPT, over 100,000 users and $45 million in revenue for Jasper A.I., and the race to adopting A.I. at scale has begun. Does the global adoption of artificial intelligence have you concerned or apprehensive about what's to come? On one hand it's easy to get caught up in the possibilities of co-existing with A.I. living the enhanced upgraded human experience. We already have tech and A.I. integrated into so many of our daily habits and routines: Apple watches, ora rings, social media algorithms, chat bots, and on and on. Yoshua Bengio has dedicated more than 30 years of his computer science career to deep learning. He's an award winning computer scientist known for his breakthroughs in artificial neural networks. Why after 3 decades contributing to the advancement of A.I. systems is Yoshua now calling to slow down the development of powerful A.I. systems? This conversation is about being open-minded and aware of the dangers of AI we all need to consider from the perspective of one of the world's leading experts in artificial intelligence. Conscious computers, A.I. trolls, and the evolution of machines and what it means to be a neural network are just a few of the things you'll find interesting in this conversation. [Original air date: 4-13-23] Follow Yoshua Bengio: Website: https://yoshuabengio.org/ SPONSORS: Explore the Range Rover Sport at https://landroverusa.com Use this link and Hartford Gold will give you up to $15,000 dollars of FREE silver on your first qualifying: order.offers.americanhartfordgold.com/content-affiliate/?&leadsource=affiliate&utm_sfcampaign=701Rb000009EnmrIAC For comprehensive financial news and analysis, visit the incredible brand that so many great investors use, https://yahoofinance.com.   Visit https://BetterHelp.com/ImpactTheory today to get 10% off your first month. Go to https://shopify.com/impact now to grow your business–no matter what stage you're in Get $1,000 off Vanta when you go to https://vanta.com/THEORY Get 5 free AG1 Travel Packs and a FREE 1 year supply of Vitamin D with your first purchase at https://drinkag1.com/impact. Secure your digital life with proactive protection for your assets, identity, family, and tech – Go to https://aura.com/IMPACT to start your free two-week trial. Take control of your gut health by going to https://tryviome.com/impact and use code IMPACT to get 20% off your first 3 months and free shipping. ***Are You Ready for EXTRA Impact?*** If you're ready to find true fulfillment, strengthen your focus, and ignite your true potential, the Impact Theory subscription was created just for you.  *New episodes delivered ad-free, EXCLUSIVE access to hundreds of archived Impact Theory episodes, Tom AMAs, and so much more!* This is not for the faint of heart. This is for those who dare to learn obsessively, every day, day after day. *****Subscribe on Apple Podcasts: https://apple.co/3PCvJaz***** Subscribe on all other platforms (Google Podcasts, Spotify, Castro, Downcast, Overcast, Pocket Casts, Podcast Addict, Podcast Republic, Podkicker, and more) : https://impacttheorynetwork.supercast.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of ACM ByteCast, Rashmi Mohan hosts ACM A.M. Turing Award laureate Yoshua Bengio, Professor at the University of Montreal, and Founder and Scientific Director of MILA (Montreal Institute for Learning Algorithms) at the Quebec AI Institute. Yoshua shared the 2018 Turing Award with Geoffrey Hinton and Yann LeCun for their work on deep learning. He is also a published author and the most cited scientist in Computer Science. Previously, he founded Element AI, a Montreal-based artificial intelligence incubator that turns AI research into real-world business applications, acquired by ServiceNow. He currently serves as technical and scientific advisor to Recursion Pharmaceuticals and scientific advisor for Valence Discovery. He is a Fellow of ACM, the Royal Society, the Royal Society of Canada, Officer of the Order of Canada, and recipient of the Killam Prize, Marie-Victorin Quebec Prize, and Princess of Asturias Award. Yoshua also serves on the United Nations Scientific Advisory Board for Independent Advice on Breakthroughs in Science and Technology and as a Canada CIFAR AI Chair.  Yoshua traces his path in computing, from programming games in BASIC as an adolescent to getting interested in the synergy between the human brain and machines as a graduate student. He defines deep learning and talks about knowledge as the relationship between symbols, emphasizing that interdisciplinary collaborations with neuroscientists were key to innovations in DL. He notes his and his colleagues' surprise in the speed of recent breakthroughs with transformer architecture and large language models and talks at length about about artificial general intelligence (AGI) and the major risks it will present, such as loss of control, misalignment, and nationals security threats. Yoshua stresses that mitigating these will require both scientific and political solutions, offers advice for researchers, and shares what he is most excited about with the future of AI.

Today's is an exceptional episode of the AI in Business podcast. This week, we are delighted to announce the launch of ‘The Trajectory,' a new video channel, podcast, and newsletter from Emerj Technology Research. As a special sneak preview of the first episode of the podcast, we're featuring a portion of our conversation with revered computer scientist and University of Montreal professor Yoshua Bengio on today's episode of the ‘AI in Business' podcast. In conversation with Emerj CEO and Head of Research Daniel Faggella, the ‘Trajectory' sneak preview marks Yoshua's return to the ‘AI in Business' podcast for the first time in nearly a decade to explain his recent and very openly declared change of heart on the implications of artificial general intelligence (AGI) on the global realpolitik, and how large language models like ChatGPT became the catalyst for that change.

Amb el títol “Testimonis. Relats de crida i conversió”, s'han celebrat les 59 Jornades de Qüe

How is your relationship with food? Do you have a healthy relationship with food?  According to the National Eating Disorders Association, about 9% of the US population, or 28.8 million Americans, suffers from eating disorders and some form of disordered eating.  Yoshua Greenfield is a former celebrity chef, barefoot spokesperson, mindful eating expert, and published author.  Yoshua is the only guest who has been on the show for a third time because of the endlessly fascinating philosophies he represents—from leaving the “almost famous” culture, and pursuit of spirituality, to barefoot advocacy and debunking myths around cooking and food.  Expect to learn about the effective ways to improve your relationship with food, how to heal relationships with food, the benefits of mindful eating, why our relationship with food is distorted, the fermentation mastery guidebook, and more.  Please enjoy this conversation with one of Benoit's favorite guests turned friends.  Yoshua's latest book “Fermenting With Your Best Friend” is now available on Amazon and most major bookstores.  Let's get this started. * Rate The Podcast: HERE Show Notes Yoshua's Book: HERE Yoshua's YouTube: HERE Yoshua's Food Channel: HERE Yoshua's Sacred Retreats: HERE * Subscribe to YouTube: Discover More Discover More Website: HERE Come say hi on Instagram: HERE * Discover More is a top social sciences podcast for independent thinkers with mental health as a through-line. Looking for deep thinking? Let's get this started * Listen to all full-length episodes on audio: Apple Podcasts: https://podcasts.apple.com/us/podcast/discover-more/id1478666639 Spotify: https://open.spotify.com/show/4OQZ0SEZ30BNFX5m4hCZEl * Thank you for Discovering More with us!

Yoshua Greenfield is an author and teacher with a passion for mindful eating, barefoot living, and using music as medicine. He is the former host of the cooking show Brothers Green which amassed millions of subscribers on YouTube and eventually aired on MTV. In this conversation with Yoshua we discuss:His journey in the limelight and eventual disillusionment with "food porn"How to apply mindful eating and cooking to your lifeEating in silenceHis explorations into BreatharianismWhy he goes barefoot as much as possibleLearn more about Yoshua on his website younejoylife.us and follow him on Instagram.Terrain Theory episodes are not to be taken as medical advice. You are your own primary healthcare provider.If you have a Terrain Transformation story you would like to share, email us at ben@terraintheory.net.Learn more at www.terraintheory.net.Music by Chris Merenda

CNN report: Ultra-right-wing hate groups using A.I. to recreate the voice of the head of the U.S. Anti Defamation League supposedly condemning Jews for the Israel-Hamas war. Guest: Professor Yoshua Bengio, University of Montreal. One of the originators of A.I. and named a "Godfather of A.I." How concerned is he and how concerned should we all be about misapplication of A.I. and with U.S. and Canadian federal elections quickly drawing closer. Learn more about your ad choices. Visit megaphone.fm/adchoices

Today we're joined by Yoshua Bengio, professor at Université de Montréal. In our conversation with Yoshua, we discuss AI safety and the potentially catastrophic risks of its misuse. Yoshua highlights various risks and the dangers of AI being used to manipulate people, spread disinformation, cause harm, and further concentrate power in society. We dive deep into the risks associated with achieving human-level competence in enough areas with AI, and tackle the challenges of defining and understanding concepts like agency and sentience. Additionally, our conversation touches on solutions to AI safety, such as the need for robust safety guardrails, investments in national security protections and countermeasures, bans on systems with uncertain safety, and the development of governance-driven AI systems. The complete show notes for this episode can be found at twimlai.com/go/654.

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Inside Views, Impostor Syndrome, and the Great LARP, published by johnswentworth on September 25, 2023 on LessWrong. Epistemic status: model which I find sometimes useful, and which emphasizes some true things about many parts of the world which common alternative models overlook. Probably not correct in full generality. Consider Yoshua Bengio, one of the people who won a Turing Award for deep learning research. Looking at his work, he clearly "knows what he's doing". He doesn't know what the answers will be in advance, but he has some models of what the key questions are, what the key barriers are, and at least some hand-wavy pseudo-models of how things work. For instance, Bengio et al's "Unitary Evolution Recurrent Neural Networks". This is the sort of thing which one naturally ends up investigating, when thinking about how to better avoid gradient explosion/death in e.g. recurrent nets, while using fewer parameters. And it's not the sort of thing which one easily stumbles across by trying random ideas for nets without some reason to focus on gradient explosion/death (or related instability problems) in particular. The work implies a model of key questions/barriers; it isn't just shooting in the dark. So this is the sort of guy who can look at a proposal, and say "yeah, that might be valuable" vs "that's not really asking the right question" vs "that would be valuable if it worked, but it will have to somehow deal with ". Contrast that to the median person in ML these days, who. installed some libraries, loaded some weights, maybe fine-tuned a bit, and generally fiddled with a black box. They don't just lack understanding of what's going on in the black box (nobody knows that), they lack any deep model at all of why things work sometimes but not other times. When trying to evaluate a proposal, they may have some shallow patterns to match against (like "make it bigger"), but mostly they expect any project is roughly-similarly-valuable in expectation modulo its budget; their model of their own field is implicitly "throw lots of random stuff at the wall and see what sticks". Such a person "doesn't know what they're doing", in the way that Yoshua Bengio knows what he's doing. (Aside: note that I'm not saying that all of Yoshua's models are correct. I'm saying that he has any mental models of depth greater than one, while the median person in ML basically doesn't. Even a wrong general model allows one to try things systematically, update models as one goes, and think about how updates should generalize. Someone without a model has a hard time building any generalizable knowledge at all. It's the difference between someone walking around in a dark room bumping into things and roughly remembering the spots they bumped things but repeatedly bumping into the same wall in different spots because they haven't realized there's a wall there, vs someone walking around in a dark room bumping into things, feeling the shapes of the things, and going "hmm feels like a wall going that way, I should strategize to not run into that same wall repeatedly" (even if they are sometimes wrong about where walls are).) General Model Model: "impostor syndrome" is actually correct, in most cases. People correctly realize that they basically don't know what they're doing (in the way that e.g. Bengio knows what he's doing). They feel like they're just LARPing their supposed expertise, because they are just LARPing their supposed expertise. . and under this model it can still be true that the typical person who feels like an impostor is not actually unskilled/clueless compared to the median person in their field. It's just that (on this model) the median person in most fields is really quite clueless, in the relevant sense. Impostor syndrome is arguably better than the most common alternative, whic...

Link to original articleWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Inside Views, Impostor Syndrome, and the Great LARP, published by johnswentworth on September 25, 2023 on LessWrong. Epistemic status: model which I find sometimes useful, and which emphasizes some true things about many parts of the world which common alternative models overlook. Probably not correct in full generality. Consider Yoshua Bengio, one of the people who won a Turing Award for deep learning research. Looking at his work, he clearly "knows what he's doing". He doesn't know what the answers will be in advance, but he has some models of what the key questions are, what the key barriers are, and at least some hand-wavy pseudo-models of how things work. For instance, Bengio et al's "Unitary Evolution Recurrent Neural Networks". This is the sort of thing which one naturally ends up investigating, when thinking about how to better avoid gradient explosion/death in e.g. recurrent nets, while using fewer parameters. And it's not the sort of thing which one easily stumbles across by trying random ideas for nets without some reason to focus on gradient explosion/death (or related instability problems) in particular. The work implies a model of key questions/barriers; it isn't just shooting in the dark. So this is the sort of guy who can look at a proposal, and say "yeah, that might be valuable" vs "that's not really asking the right question" vs "that would be valuable if it worked, but it will have to somehow deal with ". Contrast that to the median person in ML these days, who. installed some libraries, loaded some weights, maybe fine-tuned a bit, and generally fiddled with a black box. They don't just lack understanding of what's going on in the black box (nobody knows that), they lack any deep model at all of why things work sometimes but not other times. When trying to evaluate a proposal, they may have some shallow patterns to match against (like "make it bigger"), but mostly they expect any project is roughly-similarly-valuable in expectation modulo its budget; their model of their own field is implicitly "throw lots of random stuff at the wall and see what sticks". Such a person "doesn't know what they're doing", in the way that Yoshua Bengio knows what he's doing. (Aside: note that I'm not saying that all of Yoshua's models are correct. I'm saying that he has any mental models of depth greater than one, while the median person in ML basically doesn't. Even a wrong general model allows one to try things systematically, update models as one goes, and think about how updates should generalize. Someone without a model has a hard time building any generalizable knowledge at all. It's the difference between someone walking around in a dark room bumping into things and roughly remembering the spots they bumped things but repeatedly bumping into the same wall in different spots because they haven't realized there's a wall there, vs someone walking around in a dark room bumping into things, feeling the shapes of the things, and going "hmm feels like a wall going that way, I should strategize to not run into that same wall repeatedly" (even if they are sometimes wrong about where walls are).) General Model Model: "impostor syndrome" is actually correct, in most cases. People correctly realize that they basically don't know what they're doing (in the way that e.g. Bengio knows what he's doing). They feel like they're just LARPing their supposed expertise, because they are just LARPing their supposed expertise. . and under this model it can still be true that the typical person who feels like an impostor is not actually unskilled/clueless compared to the median person in their field. It's just that (on this model) the median person in most fields is really quite clueless, in the relevant sense. Impostor syndrome is arguably better than the most common alternative, whic...

Florian Matusek talks to Jean-François Gagné, former CEO of Element AI, which he founded together with Yoshua Bengio and later sold to ServiceNow. JF also helped draft the AI Act of the European Commission and is a proponent of AI regulation. In this conversation, JF talks about the history of Element AI, how he got to work with Yoshua, AI risks and opportunities and where we go from here.

What is the illusion of choice? What are the water fasting benefits? What is the spiritual life?  Aja Rose is a sacred rest facilitator, restorative breathwork expert, natural medicine practitioner, and gifted musician.  Aja and Benoit became fast friends after spending a few days of the “sacred rest retreat” at her and Yoshua's sunshine Haus in Boulder, Colorado, to kickstart his 2023 in January.  Aja leads her natural lifestyle with integrity, authenticity, and tranquility, which took her over 20 years to cultivate, and it required her to move through her own “healing trap” from the onset of daily chronic migraines that plagued her since she was 6 years old.  Aja's mission statement is to create a space for others to unlock their “Sacred Rest” by being attuned to their innate beings through nature, locally sourced food, and music-driven ceremonies.  Expect to learn how to stop seeking endlessly, about the spiritual life, water fasting benefits, illusion of choice, finding hope after lost hope, and more.  Let's get this started. * Sponsor: kewl.FM Rate The Show: https://ratethispodcast.com/discovermore Show Notes Aja's Website: https://www.ajarose.love/ Aja's Pateron: www.patreon.com/sacredrest Aja Instagram: https://www.instagram.com/_sacredrest_/ Book Retreats HERE: https://www.ajarose.love/privatesessions Natural Medicine: https://www.ajarose.love/shop Find spring water near you: https://findaspring.com/ Water Resource: https://waterislife.shop/ Water Blessing Song: https://www.youtube.com/watch?v=KC2FHciQ0sU * Subscribe to Youtube: https://www.youtube.com/c/discovermorepodcast?sub_confirmation=1 Discover More Website: https://www.discovermorepodcast.com/ Follow Discover More on Instagram: https://www.instagram.com/discovermorepodcast/ Connect with Benoit on Instagram: https://www.instagram.com/benoitkim/ * Discover More is a top social sciences podcast for independent thinkers with mental health as a through-line. Looking for deep thinking? Let's get this started * Thank you for Discovering More with us!

With the debut of ChatGPT, the AI once promised in some distant future seems to have suddenly arrived with the potential to reshape our working lives, culture, politics and society. For proponents of AI, we are entering a period of unprecedented technological change that will boost productivity, unleash human creativity and empower billions in ways we have only begun to fathom. Others think we should be very concerned about the rapid and unregulated development of machine intelligence. For their detractors, AI applications like ChatGPT herald a brave new world of deep fakes and mass propaganda that could dwarf anything our democracies have experienced to date. Immense economic and political power may also concentrate around the corporations who control these technologies and their treasure troves of data. Finally, there is an existential concern that we could, in some not-so-distant future, lose control of powerful AIs who, in turn, pursue goals that are antithetical to humanity's interests and our survival as a species. Arguing for the motion is Yoshua Bengio, one of the leading worldwide experts on AI whose pioneering work in deep learning earned him the 2018 Turing Award, often referred to as “the Nobel Prize of Computing. Yoshua's debate partner is Max Tegmark, an internationally renowned cosmologist, global leader in machine learning research, and a professor at the M.I.T.  Arguing against the motion is Yann Lecun. Yann is an acclaimed computer scientist of mobile robotics and computational neuroscience, the Silver Professor of the Courant Institute of Mathematical Sciences at N.Y.U. and Vice-President, Chief AI Scientist at Meta. His debate partner is Melanie Mitchell, a bestselling author and world-leading expert in the various fields of artificial intelligence and cognitive science at the Santa Fe Institute.   The host of the Munk Debates is Rudyard Griffiths - @rudyardg.   Tweet your comments about this episode to @munkdebate or comment on our Facebook page https://www.facebook.com/munkdebates/ To sign up for a weekly email reminder for this podcast, send an email to podcast@munkdebates.com.   To support civil and substantive debate on the big questions of the day, consider becoming a Munk Member at https://munkdebates.com/membership Members receive access to our 10+ year library of great debates in HD video, a free Munk Debates book, newsletter and ticketing privileges at our live events. This podcast is a project of the Munk Debates, a Canadian charitable organization dedicated to fostering civil and substantive public dialogue - https://munkdebates.com/ Senior Producer: Ricki Gurwitz Editor: Kieran Lynch  

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Munk AI debate: confusions and possible cruxes, published by Steven Byrnes on June 27, 2023 on LessWrong. There was a debate on the statement “AI research and development poses an existential threat” (“x-risk” for short), with Max Tegmark and Yoshua Bengio arguing in favor, and Yann LeCun and Melanie Mitchell arguing against. The YouTube link is here, and a previous discussion on this forum is here. The first part of this blog post is a list of five ways that I think the two sides were talking past each other. The second part is some apparent key underlying beliefs of Yann and Melanie, and how I might try to change their minds. While I am very much on the “in favor” side of this debate, I didn't want to make this just a “why Yann's and Melanie's arguments are all wrong” blog post. OK, granted, it's a bit of that, especially in the second half. But I hope people on the “anti” side will find this post interesting and not-too-annoying. Five ways people were talking past each other 1. Treating efforts to solve the problem as exogenous or not This subsection doesn't apply to Melanie, who rejected the idea that there is any existential risk in the foreseeable future. But Yann suggested that there was no existential risk because we will solve it; whereas Max and Yoshua argued that we should acknowledge that there is an existential risk so that we can solve it. By analogy, fires tend not to spread through cities because the fire department and fire codes keep them from spreading. Two perspectives on this are: If you're an outside observer, you can say that “fires can spread through a city” is evidently not a huge problem in practice. If you're the chief of the fire department, or if you're developing and enforcing fire codes, then “fires can spread through a city” is an extremely serious problem that you're thinking about constantly. I don't think this was a major source of talking-past-each-other, but added a nonzero amount of confusion. 2. Ambiguously changing the subject to “timelines to x-risk-level AI”, or to “whether large language models (LLMs) will scale to x-risk-level AI” The statement under debate was “AI research and development poses an existential threat”. This statement does not refer to any particular line of AI research, nor any particular time interval. The four participants' positions in this regard seemed to be: Max and Yoshua: Superhuman AI might happen in 5-20 years, and LLMs have a lot to do with why a reasonable person might believe that. Yann: Human-level AI might happen in 5-20 years, but LLMs have nothing to do with that. LLMs have fundamental limitations. But other types of ML research could get there—e.g. my (Yann's) own research program. Melanie: LLMs have fundamental limitations, and Yann's research program is doomed to fail as well. The kind of AI that might pose an x-risk will absolutely not happen in the foreseeable future. (She didn't quantify how many years is the “foreseeable future”.) It seemed to me that all four participants (and the moderator!) were making timelines and LLM-related arguments, in ways that were both annoyingly vague, and unrelated to the statement under debate. (If astronomers found a giant meteor projected to hit the earth in the year 2123, nobody would question the use of the term “existential threat”, right??) As usual (see my post AI doom from an LLM-plateau-ist perspective), this area was where I had the most complaints about people “on my side”, particularly Yoshua getting awfully close to conceding that under-20-year timelines are a necessary prerequisite to being concerned about AI x-risk. (I don't know if he literally believes that, but I think he gave that impression. Regardless, I strongly disagree, more on which later.) 3. Vibes-based “meaningless arguments” I recommend in the strongest possible terms that ...

There was a debate on the statement “AI research and development poses an existential threat” (“x-risk” for short), with Max Tegmark and Yoshua Bengio arguing in favor, and Yann LeCun and Melanie Mitchell arguing against. The YouTube link is here, and a previous discussion on this forum is here.The first part of this blog post is a list of five ways that I think the two sides were talking past each other. The second part is some apparent key underlying beliefs of Yann and Melanie, and how I might try to change their minds.[1]While I am very much on the “in favor” side of this debate, I didn't want to make this just a “why Yann's and Melanie's arguments are all wrong” blog post. OK, granted, it's a bit of that, especially in the second half. But I hope people on the “anti” side will find this post interesting and not-too-annoying.Five ways people were talking past each other1. Treating efforts to solve the problem as exogenous or notThis subsection doesn't apply to Melanie, who rejected the idea that there is any existential risk in the foreseeable future. But Yann suggested that there was no existential risk because we will solve it; whereas Max and Yoshua argued that we should acknowledge that there is an existential risk so that we can solve it.By analogy, fires tend not to spread through cities because the fire department and fire codes keep them from spreading. Two perspectives on this are:If you're an outside observer, you can say that “fires can spread through a city” is evidently not a huge problem in practice.If you're the chief of the fire department, or if you're developing and enforcing fire codes, then “fires can spread through a city” is an extremely serious problem that you're thinking about constantly.I don't think this was a major source of talking-past-each-other, but added a nonzero amount of confusion.2. Ambiguously changing the subject to “timelines to x-risk-level AI”, or to “whether large language models (LLMs) will scale to x-risk-level AI”The statement under debate was “AI research and development poses an existential threat”. This statement does not refer to any particular line of AI research, nor any particular time interval. The four participants' positions in this regard seemed to be:Max and Yoshua: Superhuman AI might happen in 5-20 years, and LLMs have a lot to do with why a reasonable person might believe that.Yann: Human-level AI might happen in 5-20 years, but LLMs have nothing to do with that. LLMs have fundamental limitations. But other types of ML research could get there—e.g. my (Yann's) own research program.Melanie: LLMs have fundamental limitations, and Yann's research program is doomed to fail as well. The kind of AI that might pose an x-risk will absolutely not happen in the foreseeable future. (She didn't quantify how many years is the “foreseeable future”.)It seemed to me that all four participants (and the moderator!) were making timelines and LLM-related arguments, in ways that were both annoyingly vague, and unrelated to the statement under debate.(If astronomers found a [...]--- First published: June 27th, 2023 Source: https://forum.effectivealtruism.org/posts/LEEcSn4gt7nBwBghk/munk-ai-debate-confusions-and-possible-cruxes --- Narrated by TYPE III AUDIO. Share feedback on this narration.

Link to original articleWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Munk AI debate: confusions and possible cruxes, published by Steven Byrnes on June 27, 2023 on LessWrong. There was a debate on the statement “AI research and development poses an existential threat” (“x-risk” for short), with Max Tegmark and Yoshua Bengio arguing in favor, and Yann LeCun and Melanie Mitchell arguing against. The YouTube link is here, and a previous discussion on this forum is here. The first part of this blog post is a list of five ways that I think the two sides were talking past each other. The second part is some apparent key underlying beliefs of Yann and Melanie, and how I might try to change their minds. While I am very much on the “in favor” side of this debate, I didn't want to make this just a “why Yann's and Melanie's arguments are all wrong” blog post. OK, granted, it's a bit of that, especially in the second half. But I hope people on the “anti” side will find this post interesting and not-too-annoying. Five ways people were talking past each other 1. Treating efforts to solve the problem as exogenous or not This subsection doesn't apply to Melanie, who rejected the idea that there is any existential risk in the foreseeable future. But Yann suggested that there was no existential risk because we will solve it; whereas Max and Yoshua argued that we should acknowledge that there is an existential risk so that we can solve it. By analogy, fires tend not to spread through cities because the fire department and fire codes keep them from spreading. Two perspectives on this are: If you're an outside observer, you can say that “fires can spread through a city” is evidently not a huge problem in practice. If you're the chief of the fire department, or if you're developing and enforcing fire codes, then “fires can spread through a city” is an extremely serious problem that you're thinking about constantly. I don't think this was a major source of talking-past-each-other, but added a nonzero amount of confusion. 2. Ambiguously changing the subject to “timelines to x-risk-level AI”, or to “whether large language models (LLMs) will scale to x-risk-level AI” The statement under debate was “AI research and development poses an existential threat”. This statement does not refer to any particular line of AI research, nor any particular time interval. The four participants' positions in this regard seemed to be: Max and Yoshua: Superhuman AI might happen in 5-20 years, and LLMs have a lot to do with why a reasonable person might believe that. Yann: Human-level AI might happen in 5-20 years, but LLMs have nothing to do with that. LLMs have fundamental limitations. But other types of ML research could get there—e.g. my (Yann's) own research program. Melanie: LLMs have fundamental limitations, and Yann's research program is doomed to fail as well. The kind of AI that might pose an x-risk will absolutely not happen in the foreseeable future. (She didn't quantify how many years is the “foreseeable future”.) It seemed to me that all four participants (and the moderator!) were making timelines and LLM-related arguments, in ways that were both annoyingly vague, and unrelated to the statement under debate. (If astronomers found a giant meteor projected to hit the earth in the year 2123, nobody would question the use of the term “existential threat”, right??) As usual (see my post AI doom from an LLM-plateau-ist perspective), this area was where I had the most complaints about people “on my side”, particularly Yoshua getting awfully close to conceding that under-20-year timelines are a necessary prerequisite to being concerned about AI x-risk. (I don't know if he literally believes that, but I think he gave that impression. Regardless, I strongly disagree, more on which later.) 3. Vibes-based “meaningless arguments” I recommend in the strongest possible terms that ...

The launch of ChatGPT broke records in consecutive months between December 2022 and February 2023. Over 1 billion users a month for ChatGPT, over 100,000 users and $45 million in revenue for Jasper A.I., and the race to adopting A.I. at scale has begun. Does the global adoption of artificial intelligence have you concerned or apprehensive about what's to come? On one hand it's easy to get caught up in the possibilities of co-existing with A.I. living the enhanced upgraded human experience. We already have tech and A.I. integrated into so many of our daily habits and routines: Apple watches, ora rings, social media algorithms, chat bots, and on and on. Yoshua Bengio has dedicated more than 30 years of his computer science career to deep learning. He's an award winning computer scientist known for his breakthroughs in artificial neural networks. Why after 3 decades contributing to the advancement of A.I. systems is Yoshua now calling to slow down the development of powerful A.I. systems? This conversation is about being open-minded and aware of the dangers of AI we all need to consider from the perspective of one of the world's leading experts in artificial intelligence. Conscious computers, A.I. trolls, and the evolution of machines and what it means to be a neural network are just a few of the things you'll find interesting in this conversation. QUOTES: “We need to be maybe much more careful and provide much more of guidance and guardrails in regulation, to minimize potential harm that could come out of more and more powerful systems.” “I would say misinformation, disinformation is the greatest large-scale danger.” “With AI becoming more powerful, I think it's time to really accelerate that process of regulating to protect the public, and society.” “The most important message is that we have reached a point where the precautionary principle needs to kick in quickly.” “Technology has reached a point where it can be very damaging, and there's too much unknown of how this can happen and when it will happen.” “I think we can have AI systems that have no goals, no wants, but they're just trained to do good inference, to learn as well as possible about the world from the data they have, and to recalculate to us what are good answers to the questions we're asking.” Follow Yoshua Bengio: Website: https://yoshuabengio.org/  RESTART your life in 7 days: http://bit.ly/42KM8OR Click here to download your FREE guide to 100x YOUR EFFICIENCY IN 10 EASY STEPS: https://bit.ly/3F8qOJL Sponsors: This episode is sponsored by BetterHelp. Give online therapy a try at http://www.betterhelp.com/impacttheory and get on your way to being your best self. Visit http://www.houseofmacadmais.com/impact and use code impact for 20% off all purchases, and for a limited time a complimentary bottle of cold-pressed Extra Virgin macadamia oil! Get 3lbs of Bone-in Chicken Thighs FOR FREE in every box, for a year, on top of $20 off your first order, when you go to butcherbox.com/impact and use code IMPACT  Find Tools and Weapons with Brad Smith wherever you like to listen to podcasts. Get 20% OFF with our code IMPACT at calderalab.com/IMPACT. Unlock your youthful glow and be ready for summer with Caldera Lab!: Learn more about your ad choices. Visit megaphone.fm/adchoices

What's it like to be a content creator?  Today we are talking to a former celebrity chef, reality tv show cohost of Brothers Green, who once dreamed of being a rockstar.  Yoshua Greenfield says at first it's exciting then you start to feel like a caged animal.  You have to break down who you are and who you think you are.  Parents go through their own process of figuring things out as well! Today we are talking about the death of the ego, understanding who we are, and what we project.  Not all barefoot people are the same!  Better Call Daddy: The Safe Space For Controversy.   After moving to Brooklyn to pursue a life as a musician and rock star Yoshua fell into a terrible depression, lost his way and began feeling as though life was empty and meaningless, even considered ending it all. Through a weird and wonderful twist of fate, he fell upon a series of teachings that showed him that he wasn't crazy but rather starting to wake up to the true nature of reality. He saw that he wasn't depressed, but was experiencing a deep inner state of rest (deep-rest), his soul desperately seeking a break from the character he had been playing. Having nearly no previous understanding of the “spiritual path,” and only a desire to burn all that was false to the ground, he began shedding all of the lies and conditioned belief holding him in fear and began to see what it meant to live life in tune with clarity and truth—in harmony with all.  As life is often filled with surprises, the universe began pointing Yoshua in a rather interesting direction which led him to creating an alternative cooking show with his brother and getting signed to a major TV deal where he traveled the world and went on adventures cooking for celebrities. Excited by these new possibilities but feeling conflicted to be amongst a world of wealth and corporate greed, Yoshua began seeing the character he was creating to deal with it all and after seven years of garnering a success he had never dreamed of, he(metaphorically speaking) burnt the house down and was finally free of any perceived self and began focusing on the work he has been doing for the last many years—guiding others that have already woken up from the Matrix and supporting them to live life beyond fear. For the past ten years Yoshua has also studied the ancient art of sound healing and has been guiding people to unlock their innate musical gifts and experience music as a form of connection and vibrational healing. He hosts song circles as a way to bring about connection amongst fellow humans and has been creating improvised music with one of his favorite bands Yaima and has performed with them on a number of occasions. He also teaches people how to develop a clear and conscious relationship to the foods they consume and how mindful eating can support all areas of your life. He hasn't worn shoes in three years and can't get enough of telling people about the glorious benefits of living a more barefoot forward life. Yoshua has studied a variety of different healing practices and resonates mostly with Zen Buddhism and Non-Duality as he has seen how they can help anyone make sense of all aspects of life and live in the present, creating a life of your own design. He has written a series of 5 books that delve into the simple concept of taking off the false self to uncover who you really are through a variety of mediums—cooking, music, mindful conversations and living barefoot. Yoshua is merely a reflection of what is possible when you live outside of fear, connected to all the gloriousness that is. From this place there are no levels of hierarchy, no destination to get to, from this place all makes perfect sense when we realize who we truly are.  Shout out Benoit Kim for the intro!     Connect with Reena https://youtube.com/c/BetterCallDaddy bettercalldaddy.com linkedin.com/in/reenafriedmanwatts twitter.com/reenareena instagram.com/reenafriedmanwatts instagram.com/bettercalldaddypodcast   Me and my dad would love to hear from you ratethispodcast.com/bettercalldaddy podchaser.com/bettercalldaddy  

Yellen, First Republic, Crédit Suisse y el Banco Central Suizo. Venture Capitalists (VCs) y Gwyneth Paltrow. El triángulo de la incomprensión. El BCE y Powell: un hike es un hike! Yoshua. Cosas éticas. Abogados e inteligencia artificial. Preguntas y recomendaciones. Suscríbanse, dennos LIKE, y dejen comentarios con buena vibra :D Sígannos En Twitter: www.twitter.com/walterbuchananc www.twitter.com/luizgonzali www.twitter.com/fravazah (aquí compartimos los materiales que conversamos en el programa) En Instagram: https://www.instagram.com/moneytalkslatam/ En LinkedIn: https://www.linkedin.com/company/money-talks-el-podcast/

Did you know life is mostly comprised of the mundane and boring? How do you find content in life? What do you think about spirituality in 2023? Join us for an insightful conversation with YouTube influencer, published author, and intuitive musician, Yoshua Greenfield. Known as the modern spokesman for barefoot culture and living in the flow, Yoshua has a unique perspective on spirituality in 2023. Before his spiritual journey, Yoshua gained fame and success as the host of MTV food shows, touring the world, and running the popular YouTube channel "Brothers Green" (later rebranded to "Pro Home Cooks"). Despite having a verified Instagram account with a large following, Yoshua recently made the decision to permanently quit the platform because it didn't align with his way of life. In this episode, we discuss Yoshua's choice to leave Instagram, the concept of spirality as a marketplace in 2023, how to destroy the false self, the relationship between life and waves, and much more. Be prepared for thought-provoking insights and the possibility of experiencing goosebumps, feelings of enlightenment, and even the delusion of temporary levitation. Don't miss out on this enlightening episode! * Altruistic Support: https://www.buymeacoffee.com/discovermore Show Notes Yoshua's YouTube: https://www.youtube.com/channel/UCzr-PyKUTPosDadxqMHtoTw Yoshua's Food Channel: https://www.instagram.com/brothersgreen/ Yoshua's Book Series: youenjoylife.us Yoshua's Intuitive Music School: https://www.theeverybodyband.com/schoolsignup Yoshua's Barefoot Course: https://www.thebarefoothuman.com/coursesignup Yoshua's Sacred Retreats: https://www.ajarose.love/personal-retreats * Subscribe to Youtube: https://www.youtube.com/c/discovermorepodcast?sub_confirmation=1 Discover More Website: https://www.discovermorepodcast.com/ Follow Discover More on Instagram: https://www.instagram.com/discovermorepodcast/ Connect with Benoit on Instagram: https://www.instagram.com/benoitkim/ * Discover More is an independent podcast for thinkers seeking valuable life stories with practical mental health insights. As a psychotherapist, Benoit Kim highlights the magical relationship between healing and the optimal human experience. Here's to mental health being a top priority: today and every single day. * Thank you for Discovering More with us!

Le 9 décembre avait lieu la journée de la laïcité dans l'ensemble des écoles du pays. À cette occasion le collège François Raspail de Carpentras a mis en place une journée sur le vivre ensemble et les valeurs de la République. Écoutez les interviews de Yoshua, Léna, Amza et Yasmine actuellement en 6e et 5e média qui nous font découvrir les différents ateliers de cette journée. Les élèves de la classe 6èmes pratiques artistiques ont aussi écrit et enregistré un slam avec un intervenant extérieur Lucas Bory dans le cadre de leur option Pratiques artistiques menée avec leurs professeurs, Mme Bolard et Mme Meffre «  Dire merci ce n'est rien du tout, dire merci ce n'est rien de fou, pourtant c'est beau, c'est ce qu'il nous faut ! »

And now for something completely different! Yoshua Shelton head writer/head honcho at the Infographics Show sits down with the podcast to talk his UFO encounters as a US servicemen. We break down what a makes a UFO truly unidentified. Take a listen! ►Diego: https://twitter.com/thediegocrespo ►Gene: https://twitter.com/gene9892 ►Check out our Patreon! https://www.patreon.com/thewafflepresspodcast ►YouTube: https://www.youtube.com/c/TheWafflePress ►SoundCloud: https://soundcloud.com/thewafflepress/109a ►Spotify: https://open.spotify.com/episode/1IHTcgPXWnXFNebqpPjEhD?si=kmQLHyaRSV2zHQ_ubjvQyA ►Check out FilmCred! https://film-cred.com/

Headline News Metro TV Edisi 1141 kali ini membahas: Keluarga yakin pembunuh Yoshua lebih dari satu. LPSK: Bharada Eliezer mengaku mendapat ancaman. Sidang perdana Doni Salmanan. Penyelidikan bayi meninggal saat persalinan normal. Temuan kasus suspek cacar monyet di Indonesia. Waspada penularan cacar monyet.

Headline News Metro TV Edisi 1145 kali ini membahas: Tiga jenderal dicopot buntut kasus Brigadir Yoshua. Oknum polisi ambil CCTV di TKP kematian Yoshua. Bunuh anak kandung, ibu serahkan diri ke polisi. Polisi gagalkan upaya ekspor biji kokain. Tiga WNA pengedar narkoba diamankan di Bali.

Kasus polisi tembak polisi tak kunjung ada titik terang. kasus telah memasuki tahap penyidikan, namun hingga kini belum ada yang ditetapkan sebagai tersangka. Kepolisian yang biasanya tangkas dan cekatan mengungkap berbagai kasus pembuhuhan dinilai lamban mengusut penyebab tewasnya brigadir Yoshua. Berbagai langkah telah dilakukan, di antaranya membentuk tim khusus, menonaktifkan sejumlah orang di tubuh Polri, otopsi ulang hingga melibatkan Komnas HAM. Apakah Polri mampu mengurai misteri kasus ini? simak diskusinya bersama Kadiv Humas Mabes Polri, Komisi III DPR, Pengacara keluarga Yoshua, mantan Kabareskrim dan LPSK.

Headline News Metro TV Edisi 1133 kali ini membahas: Masih trauma, ibunda Brigadir Yoshua belum mengajar. Misteri kuburan bansos di Depok. Membuka misteri kuburan bansos di Depok. Pengacara keluarga Yoshua terancam dipolisikan. Antusiasme parpol daftar Pemilu 2024.

Zach and Yoshua are back once again to tempt airwave's fate by pressing onward with the immaculate podcast simply known as Pro-Wrestling-Off-Topic (or as the kids put it; PeeDubwa Oh TOT).  #PWOT136 brings you the laughs and tears this week as we talk Impact!, ROH, and some old guy retiring from being boss or something. Enjoy!! 

03.07.2022 - Qui Est Jesus? (Yoshua Sely) by La Cité

Yoshua Greenfield writes books and creates things about living life via truth, nature, music, food, and his bare feet. He talks to us about how he discovered the joys of walking, hiking, running and dancing barefoot and learned to love his feet. Rather than tout his "accolades", Yoshua's actions speak louder than words. For the last many years he has been acting as a guide, supporting others to pull back the mask of fear and illusion and live a life in truth, an author of their own life. He expresses these "bigger" concepts through simple and common parts of life such as connecting through music, mindful cooking and living barefot. Connect with Yoshua at: YouEnjoyLife.us/foryou Paul Vato is an on camera and voice actor, improvisor, podcaster and entrepreneur. Connect with Paul Vato: PaulVato.com • VATO.tv • y.at/

Tugas Latsar tentang pengelaman belajar Yoshua

Txs Health con Andrea Obaid, Yoshua Zapata y Sergio Rojas. 19 de mayo del 2022. by TXS Plus

In our second episode, Michael Ramos introduces you to two Church Planting Initiative grant recipients.

Apostolic Power of God Church International Ministries APGCI UNITED CHURCHES GLOBALY MINISTRIES BIBLE COLLEGE America & Africa.(Siri ya Kuinuliwa Na ku sitawa ) Yoshua 1 7 : Uwe hodari tu , na ushujaa mwingi, uangalie kutenda sawasawa na sheria yote aliyokuamuru Musa mtumishi wangu; usiiache, kwenda mkono wa kuume, au wa kushoto, upate kufanikiwa sana kila uendako. 8 : Kitabu hiki cha torati kisiondoke kinywani mwako, bali yatafakari maneno yake mchana na usiku, upate kuangalia kutenda sawasawa na maneno yote yaliyoandikwa humo; maana ndipo utakapoifanikisha njia yako, kisha ndipo utakapositawi sana --- Support this podcast: https://anchor.fm/apostolicpowerofgod/support

Today's esteemed guest is one of the world's best-recognized AI experts, and most cited computer scientists. Dr. Yoshua Bengio began his AI journey in the field of neural networks, following which he spent many years focusing on deep learning. He is currently working towards bridging the gap between human intelligence and state-of-the-art machine learning technologies. In this episode, we discuss system one versus system two thinking, and how understanding these systems can contribute to building more moral machines. Dr. Bengio also explains the positive impacts that AI can have on people and the planet, and how the risks of AI can be mitigated through a variety of approaches. Key Points From This Episode:An introduction to today's esteemed guest, Yoshua Bengio.Yoshua briefly shares his thoughts on the crisis that is currently taking place in Ukraine. Origins of Yoshua's journey in the AI world.The research field that Yoshua is most excited about at the moment. Yosuha explains the concept of Consciousness Prior.System one versus system two thinking. How neural networks solved the problem of ‘search' in AI. Ways of mitigating the risks of AI, and some of the organizations that are working on this. How our inductive biases can be problematic.Lack of regulation in the computing industry, and why this needs to change.The global threats that AI has the potential to solve. The importance of knowledge sharing.Advice from Yoshua for all scientific researchers.Yoshua's favorite AI movie. Tweetables:“The idea that there would be general principles that could explain intelligence, both ours, the intelligence of animals, and would allow us to build intelligent machines, I found that so exciting, and I've been riding that wave since then.” — Yoshua Bengio “I really believe in the importance of a diversity of research paths and research directions.” — Yoshua Bengio “The system one, system two division is a path towards making more moral machines.” — Yoshua Bengio “The area of healthcare is one where AI has the greatest potential of touching human beings positively in the coming years, and really saving a lot of lives.” — Yoshua BengioLinks Mentioned in Today's Episode:Yoshua BengioYoshua Bengio on LinkedInThe Consciousness PriorMilaUniversity of MontrealA.M. Turing Award2001: A Space Odyssey

Dan TUHAN berbicara kepada Musa dengan berhadapan muka seperti seorang berbicara kepada temannya; kemudian kembalilah ia ke perkemahan. Tetapi abdinya, Yoshua bin Nun, seorang yang masih muda, tidaklah meninggalkan kemah itu. (Keluaran 33:11) Alkitab menggambarkan Musa sebagai "teman Tuhan". Dia bercakap dengan Tuhan secara bersemuka. Musa mempunyai hubungan intim dengan Tuhan. Yoshua anak Nun, adalah pembantu Musa. Dia harus menggantikan Musa untuk memimpin Israel ke Tanah Perjanjian Tuhan. Yoshua anak Nun, pelayanmu, dialah yang akan masuk ke sana. Berilah kepadanya semangat, sebab dialah yang akan memimpin orang Israel sampai mereka memiliki negeri itu. (Ulangan 1:38) Yosua adalah seorang yang penuh dengan Roh Tuhan: Maka TUHAN berfirman kepada Musa, "Ambillah Yoshua anak Nun, seorang yang penuh dengan Roh, dan letakkan tanganmu atasnya. (Bilangan 27:18) Apa yang sebenarnya membezakan Yoshua? Saya percaya bahawa dia lapar akan hadirat Tuhan. Dia hadir ketika Tuhan berbicara bersama Musa secara bersemuka. Dia teringin untuk berada dalam hubungan yang sebegitu intim dengan Tuhan, seperti yang dialami Musa. Dia merindui dan menginginkan hubungan intim bersama Tuhan. Untuk membina hubungan yang intim, kita perlu meluangkan masa dalam hubungan tersebut. Sama ada dalam hubungan manusia atau hubungan dengan Tuhan, tidak ada pengecualian. Keintiman tidak berkembang secara automatik hanya kerana kita menginginkannya. Keintiman tidak berlaku hanya sekali, maka kita boleh membiarkannya tanpa pengawasan, tidak lagi menghabiskan masa untuk melakukannya. Keintiman, misalnya dalam perkahwinan, memastikan hubungan suami-isteri yang kuat. Ia perlu untuk membina keluarga yang sihat secara emosi. Keintiman dengan Tuhan, seperti yang kita perhatikan dari kehidupan Yoshua, menarik Roh Tuhan kepadanya, mengisinya dan memberi kuasa kepadanya. Keintiman dengan Tuhan menghubungkan kita dengan hati Tuhan dan tujuan-Nya. Keintiman dengan Tuhan menyebabkan kita memasuki destini Tuhan dalam hidup kita. Ketika kita berjalan dalam destini Tuhan, kita kemudian memiliki kekuatan dan kuasa untuk memimpin mereka yang diamanahkan oleh Tuhan kepada kita ke dalam destini mereka. "Sebab Dialah yang akan memimpin orang Israel sampai mereka memiliki negeri itu (Tanah Perjanjian Tuhan)." Membina hubungan yang intim dengan Tuhan adalah sangat penting dan satu perkara yang utama dalam kehidupan orang Kristian. Kita tidak mampu mengabaikannya. Memang wajar keintiman bersama Tuhan layak mendapat masa kita! Fokus Doa: Baca Mazmur 103 dan 104. Luangkan masa menyembah Tuhan, bersembang dengan-Nya. Berdoalah berselaras dengan kedua-dua Mazmur ini.

Welcome back to another episode of Discover More. "Which brings me to the most important thing in my life, which is really music. And that was the first thing that showed me that there is a type of communication that you can experience with other people that is beyond words. That's a feeling. And it's in that resonance that there's this beautiful magic that happened because you're not trying to relate through the mind and the intellect but you're resonating on a certain feeling.” - Yoshua Greenfield Welcome back to another episode of Discover More. This week, we continue our conversation with Yoshua Greenfield. Yoshua is a talented musician, author, home cook, nature-lover, and bare-foot advocate. He is well-known on YouTube for his prior role in the food show, “Brothers Green”, as well as his current project, “You Enjoy Life”, which examines what it means to be and feel alive through food, music, natural movement and connection. This week's episode is part two of our interview, and we examine Yoshua's philosophy around relationships. Whether living in a relationship with nature, self, or other humans, it's important to look through the lens of resonance— that is, the felt sense of energetic connection; what feels right. We go on to discuss music and Yoshua's journey as a musician. His released album, You and The Everybody Band, aims to facilitate connection through shared musical experiences & improvisation. He also teaches clients to sing through a unique vocal opening process. He shares several powerful stories which beautifully illustrate this voice-activation process, as well as the healing power of music and the importance of staying open to what life has to offer. Stay tuned until the end to hear an incredible piece of music performed by Yoshua. Thank you for Discovering More with us and Yoshua Greenfield this week. Show Notes: Yoshua's Youtube: https://www.youtube.com/channel/UCzr-PyKUTPosDadxqMHtoTw Yoshua's Website: https://yelmusic.com/ Yoshua's Instagram: https://www.instagram.com/youenjoylife/ Book on Living Barefoot: https://yelmusic.com/walkingbarefoot * Connect with Us: Follow Us on Instagram: https://www.instagram.com/discovermorepodcast/ Follow Benoit on Instagram: https://www.instagram.com/benoitkim/ Follow Aidan on Instagram: https://www.instagram.com/aidanjames24/ Subscribe to Our Newsletter: https://tinyletter.com/discovermorepodcast * Thank you for Discovering More with us!

Welcome back to another episode of Discover More. "So I'm very symbolic in nature and I'm aware that I'm creating these ideas and these stories to navigate life in a way. But the more I tune in and listen, the more things become obvious. For me, I don't make choices anymore. Choices are illusions. Like we think we were choosing between two things, but once the thing that we're supposed to do becomes clear, the other thing wasn't even really an option. But if you're turning into what you really want and what you really need, well then there is no choice. The other thing is just like the illusion hiding." - Yoshua Greenfield This week's guest, Yoshua Greenfield, is one of the most fascinating people we've ever met. A talented musician, author, home cook, nature-lover, and bare-foot advocate, Yoshua comes with a wide range of important stories and lessons. He is well-known in the YouTube community for his prior role in the food show, “Brothers Green”, as well as his current project, “You Enjoy Life”, which examines what it truly means to be and feel alive through food, music, natural movement, and connection. We appreciate the way he explains complex topics through elegant story-telling and subtly encourages others to dive deeper into their spirituality and belief systems. In this week's episode, Yoshua recounts his journey of transitioning from a Brooklyn-based professional musician to a Colorado-living barefoot advocate. He reflects on his experience running his first barefoot marathon in the Colorado Mountains, as well as the many physical, mental, and spiritual benefits of living barefoot. Yoshua also shares some powerful practices for overcoming self-doubt, developing self-awareness, and deepening in relationship with Mother Nature. We're so excited to share Yoshua's beautiful stories and wisdom. They are truly inspiring, and we hope that you find it as moving as we did. Show Notes: Yoshua's Youtube: https://www.youtube.com/channel/UCzr-PyKUTPosDadxqMHtoTw Yoshua's Website: https://yelmusic.com/ Yoshua's Instagram: https://www.instagram.com/youenjoylife/ Book on Living Barefoot: https://yelmusic.com/walkingbarefoot * Connect with Us: Follow Us on Instagram: https://www.instagram.com/discovermorepodcast/ Follow Benoit on Instagram: https://www.instagram.com/benoitkim/ Follow Aidan on Instagram: https://www.instagram.com/aidanjames24/ Subscribe to Our Newsletter: https://tinyletter.com/discovermorepodcast * Thank you for Discovering More with us!

In this episode of Intel on AI host Amir Khosrowshahi and Yoshua Bengio talk about structuring future computers on the underlying physics and biology of human intelligence. Yoshua is a professor at the Department of Computer Science and Operations Research at the Université de Montréal and scientific director of the Montreal Institute for Learning Algorithms (Mila). In 2018 Yoshua received the ACM A.M. Turing Award with Geoffrey Hinton and Yann LeCun. In the episode, Yoshua and Amir discuss causal representation learning and out-of-distribution generalization, the limitations of modern hardware, and why current models are exponentially increasing amounts of data and compute only to find slight improvements. Yoshua also goes into detail about equilibrium propagation—a learning algorithm that bridges machine learning and neuroscience by computing gradients closely matching those of backpropagation. Yoshua and Amir close the episode by talking about academic publishing, sharing information, and the responsibility to make sure artificial intelligence (AI) will not be misused in society, before touching briefly on some of the projects Intel and Mila are collaborating on, such as using parallel computing for the discovery of synthesizable molecules. Academic research discussed in the podcast episode: Computing machinery and intelligence A quantitative description of membrane current and its application to conduction and excitation in nerve From System 1 Deep Learning to System 2 Deep Learning The Consciousness Prior BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation A deep learning theory for neural networks grounded in physics

Yoshua Reece talks with me about his research into the ways in which independent ESL language coaches can get paid by Chinese clients. We discuss the challenge of getting paid from China and look at his own web project which offers payment page solutions to independent teachers, MyTeacherShop.com BabelTEQ can offer a sales funnel oriented website plus an integration with Yoshua's payment pages as the perfect combination for ESL professionals focussed on the Chinese market.

apocarief geschrift van  Yoshua ben Sirach of beter bekend als Jesus Sirach. hoofdstuk 27 behandeld het spreken. 

00:00 When we do netilas yadayim, what happens to the water?—and can it be recycled? 5:46 Is the story of Adam adding a chumra onto also touching apples a cautionary tale against excessive stringencies? 9:52 We have a rule that women are exempt from time-bound positive commandments, so how do we decide these Halachos for Pesach? 17:50 Can you elaborate the nature of impurity as we see in Tanakh 24:48 Why, if chashiv women are chaiv for reclining one Pesach like a man, the rama exempts men but considers all women chashuvos. Why do we follow this if it’s inconsistent? 30:48 What is the source for including piyutim in davening?-and on Shabbos? 35:28 is there anything wrong with putting a picture on headstone?—what does someone know when he dies? 38:03 is Kol D’Alam Gvar trial by combat? 40:25 We see sometimes Angels are sent to fight in wars, defend, etc.. Does HaShem not do it himself?  43:20 What are some of the deeper meanings of Chad Gadya? 46:20 Was barley matzo the most common historically as suggested in Yoshua and the cycle of grains in Israel? 49:48 Why did Jerusalem keep an extra day for Rosh Hashana in the Middle Ages if this goes against the minhag from the Sanhedrin?  56:15 According to the heter of rav Moshe Feinstein in regards to kli shlishi, can one make instant noodles on Shabbos? 58:58 The Gemara in brachos discusses woman’s hair as erva, so why don’t women cover their hair until marriage? 1:02:35 is there a machloches about whether oats are one of the 5 grains? 1:04:13 Are there potential issues buying stocks during Chol Hamoed? 1:05:30 If a women checks for menstrual blood extra days this is praiseworthy, but a man checking for seminal emissions is cursed. What does it mean that we will cut off his hand? 1:06:48 How can we say we forgive someone in another gilgul if it isn’t remembered? ________________________   A Project Of Ohr.Edu Questions? Comments? We'd Love To Hear From You At: podcasts@ohr.edu https://podcasts.ohr.edu/ (Produced by CedarMediaStudios Podcasting)

James chats with Yoshua Wuyts to discuss Control Theory in traditional software domains, the possibilities of RISC-V, and open source hardware.

Hoy es llevará acabo la Primer Feria del Emprendimiento en Gran Plaza Alcaraván donde los jóvenes del departamento expondrán sus ideas de negocio.

Hoy se vence el plazo para participar en el Desafío del emprendimiento de la juventud en Casanare.

00:00 Considering the 13 Principles of Faith in order to not be a heretic. What of Rashi’s statement from the Gemara that the final 8 pesukim of the Torah were written by Yoshua? 6:38 is it a mitzvah deoreisa or d’rabbanan to stand for a Talmid Chacham or a Rav? 12:44 In the Gemara it says 40 days before one is conceived a bashert is dictated. Is this true? 21:00 How is it that minhagim become Halacha? (e.g. Ashkenazim; Shabbos)? 26:39 Was there an issue with Moshe Rabbeinu eating the Korban Pesach since his son had no bris milah? 29:20 Any gezeira that most of the congregation are unable to keep, the gezira is repealed. Is that only the initial generation?  31:39 What will Halacha be like in the times of Moshiach? 36:39 What is the system for reuniting lost Jews when Moshiach comes? 39:27 Why is it permissible to observe Tu B'Shevat if it is Shabatian? 54:13 What was the tayva of Avodah Zara in Tanakh? 57:38 Was there a physical feeling from the Avodah Zara in the old days? 55:14 is the Shulchan Aruch binding? 58:28 If there is a minyan of exactly 10 mourners, does anyone answer? ___________________________________________________ Rabbi Dr Yitzchak Breitowitz, of Ohr Somayach Jerusalem, discussing the most common questions about Judaism.   To submit questions, feedback or for sponsorship opportunities, contact us at: podcasts@ohr.edu SHEMOS 5781 (Produced by: CedarMediaStudios Podcasts)

Yoshua, previously known as Joshua Greenfield, has had quite the interesting journey with food. From chronically choking on food as a kid, to cooking for celebrities on MTV, and now having a deep hands on connection with food, this guy has so much to share about eating and interacting with food that you'll just have to listen to find out about the magic Yoshua shares with us. Find Yoshua Instagram: https://www.instagram.com/youenjoylife/ YouTube: https://www.youtube.com/user/joshyq Book: https://www.amazon.com/Conversations-Your-Best-Friend-No-Self-ebook/dp/B085747775/ref=sr_1_1?crid=13O6MA1SAUHJ6&dchild=1&keywords=conversations+with+your+best+friend&qid=1608264584&sprefix=conversations+with+your+be%2Caps%2C232&sr=8-1 Find me Instagram: @think.outside.the.bod YouTube: Anna Wegner Coaching Website: annawegnercoaching.com

Hansi Flick musim lalu membawa Bayern Munich Treble Winners ! Trus apakah musim ini bisa? Memang apa yang membuat dia hebat? Mari kita dengarkan pembahasan ini bersama Darma Kusuma dan tamu spesial dari divisi Live Medsos dan Podcast FC Bayern Fan Indonesia yaitu Yoshua !!!

Collective Problem Solving with AIFor today’s episode, we’ll hear from AI pioneer Yoshua Bengio who is a Turing-award winning computer scientist, AI XPRIZE advisory board member, and one of the “godfathers of machine learning”. Yoshua takes us on a deep dive into how machine learning is helping us in the fight against Covid-19. Yoshua pulls the curtains back on two AI projects, one around prediction of contagiousness, and a second on antiviral drug discovery. Both projects lead to a discussion about the need to change our economic and social structures to maximize collective well-being.Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer in deep learning. Following his studies in Montreal, culminating in a Ph.D. in computer science from McGill University, Professor Bengio did postdoctoral studies at the Massachusetts Institute of Technology (MIT) in Boston.Since 1993, Yoshua Bengio has been a professor in the Department of Computer Science and Operational Research at the Université de Montréal. In addition to having held for its maximum duration a Canada Research Chair, he is also the founder and scientific director of Mila, the Quebec Institute of Artificial Intelligence, the world’s largest university-based research group in deep learning. In 2016 he also became the Scientific Director of IVADO and co-Chair of the Canada’s Advisory Council on AI in 2019.His contribution to research is undeniable. In 2018, Yoshua Bengio is the computer scientist who collected the largest number of new citations in the world, thanks to his three books and some 500 publications.His ultimate goal is to understand the principles that lead to intelligence through learning and his research has earned him multiple awards. In 2017, he was made an Officer of the Order of Canada and a Fellow of the Royal Society of Canada, in addition to receiving the Prix Marie-Victorin and being named Scientist of the Year by Radio-Canada. In 2018, he was awarded the 50th Anniversary Medal by Quebec’s Ministère des Relations internationales et de la Francophonie and the Lifetime Achievement Award from the Canadian AI Association. In 2019, he was awarded the Killam Prize, the IEEE CIS Neural Networks Pioneer Award, as well as the ACM A.M. Turing Award, “the Nobel Prize of Computing”, jointly with Geoffrey Hinton and Yann LeCun for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing. These honours reflect the profound influence of his work on the evolution of our society.Concerned about the social impacts of this new technology, he actively contributed to the development of the Montreal Declaration for Responsible Development of Artificial Intelligence.https://www.xprize.org/aiforgood See acast.com/privacy for privacy and opt-out information.

Kalau lo pecinta kopi, lo pasti udah ga asing sama sosok Yoshua Tanu atau yang akrab disapa Yoshi. Selain pernah berturut-turut menjadi juara Indonesia Barista Championship, Yoshi juga pernah mewakili Indonesia di World Barista Championship. Saat ini, Yoshi menjabat sebagai CEO sekaligus co-founder dari "Jago Coffee". Menariknya, lo bisa pesen kopinya lewat aplikasi Jago Apps, dan Jago Coffee bakal nyamperin lo sambil bawa barista sekaligus cafe-nya langsung, Bro! Gokil! Kulik obrolan selengkapnya soal dunia perkopian bareng Yoshua Tanu di MLDPODCAST Episode 30.

Avanza proceso de legalidad para la plataforma de juventud de Casanare.

Seth returns to the Mindmill Podcast with special guest Yoshua Greenfield. In the rocky mountains outside of Boulder Colorado, Seth and Yoshua discuss Seth's battle with Cancer, reconnecting with nature through a barefoot lifestyle, and living your best life during a global pandemic.

I was contacted by a member of the Israel United in Christ group to have someone appear on the show and I agreed to do the show without hesitation.  This group was founded in 2003 with the intent of uniting people of color (blacks, hispanics, indigenous Americans, etc.), but whenever there is call for unity, there will also controversy. My guest, Captain Yoshua, explains how he became a part of this group and how they are trying to eradicate the problems found in communities of color.  He spoke, uninterrupted by me, and gave his Bible-based interpretation on not only where we went wrong as a people, but how we can correct it. It's a very riveting interview and it gave me an opportunity to ask questions about an organization that I'd never heard of prior to them reaching out. For my white listeners, you are going to hear some things that you will not agree with at all.  You will be offended.  However, the purpose of this show is to allow you to hear things from the perspective of others.  We cannot coexists in this world without understanding who's in it.  There are elements of this podcast that can enlighten a lot of people to the innermost thoughts of people around them. You can learn more about the IUIC at their website https://israelunite.org/. Show #845 www.Talk2Q.com  

Yoshua and I explore the world of plants (Do you think they’re conscious?) We discuss the wide-ranging influence they have on our lives- from being food sources to medicine to tools for spiritual awakening and, weaving a winding path, we branch into topics like death, awakening, Yoshua’s You Enjoy Life project, what it means to be enlightened, dealing with emotional trauma and a bunch of other random topics because, of course, I don’t believe in themes. To see more of Yoshua’s content google his project: ‘You Enjoy Life’ (podcast, YouTube channel, and Instagram page) and his book ‘Conversations with Your Best Friend’ (4:52) A brief description of permaculture (10:17) What dies when we die? Is there something in us that doesn’t die when our connection to our senses go? (13:13) What is ‘You Enjoy Life?’ (13:54) How Yoshua learned to communicate with plants (15:55) Learning from ayahuasca and psilocybin; his beliefs about how these plants work, and how they helped his inner work. (Do you know that there’s a religion that integrates ayahuasca and Christianity?) (25:55) Innocence: why pursuing childhood innocence is the wrong thing to do and what to look for instead.   (28:10) A common misconception a lot of us have about enlightenment; what waking up to truth is really like; navigating this reality to continual growth and evolution (34:17) Is ‘science vs religion’ a valid debate? (36:08) Why depression is the most powerful tool for awakening and how it led to Yoshua’s experience of awakening. (41:05) Why Yoshua decided to ditch his ADD medication. (51:20) How we can all learn to be less wasteful without needing to be radical about it.

BANGSAAAAAAT IYE YEEAAAH.

Yoshua Sudarso

Daniel, Yassin und Vladik sprechen aus gegebenen Anlass von zu Hause aus über die Hürden die die Branche der Kunst und Kreativität mit sich bringt und darüber welches die beste Schokolade ist. Ein großes Dankeschön geht an Yoshua der das Instrumental für diesen Podcast produziert hat! Checkt ihn auf Instagram ab unter https://www.instagram.com/yoshuakn/ The RAW Project auf Instagram: https://www.instagram.com/officialrawproject/ Yassin auf Instagram: https://www.instagram.com/therawpro/ Daniel auf Instagram: https://www.instagram.com/yngyzy/ Vladik auf Instagram: https://www.instagram.com/kidalv53/

To enjoy a copy of my book click THIS link. Be well, Yoshua. --- Support this podcast: https://anchor.fm/youenjoylife0/support

Today we’re joined by one of, if not the most cited computer scientist in the world, Yoshua Bengio. Yoshua is a Professor in the Department of Computer Science and Operations Research at the University of Montreal and the Founder and Scientific Director of MILA. We caught up with Yoshua just a few weeks into the coronavirus pandemic, so we spend a bit of time discussing his work both broadly on the impact of AI in society, as well as his current endeavor in building a COVID-19 tracing application, and the use of ML to propose experimental candidate drugs. We also explore his work on consciousness, including how Yoshua defines consciousness, his paper “The Consciousness Prior,” the relationship between consciousness and intelligence, how attention could be used to train consciousness, the current state of consciousness research, and how he sees it evolving.  Check out the complete show notes page at twimlai.com/talk/361.

JAGO adalah mobile coffee shop,dengan menggunakan sepeda, sebuah projek yang baru saja diluncurkan oleh Yoshua Tanu sekaligus mengakomodasi publik yang ingin memiliki kedai kopi berjalan. Biasa dipanggil Yosi yang sudah malamg melintang di panggung kejuaraan Barista tingkat nasional dan juga 3 kali di ajang World Barista Championship di Italia, Irlandia, dan Korea Selatan. Saat ini ia juga menjabat Ketua Barista Guild Indonesia (BGI).

Josh, Jonathan, Heather, Harley, and Yoshua discuss the year that was 2019. Kind of a downer, but don't worry! New shit is coming up soon! On Twitter @moistboyspod Instagram @moistboyspodcast Support us at Patreon.com/moistboyspodcast Shop merch: http://tee.pub/lic/mwAtwpH6_FM All our links here: Linktr.ee/moistboyspodcast

Josh, Kyle, Jonathan, Harley, Heather, and Yoshua are, despite all evidence to the contrary, not high as they discuss part 2 of Carole and Tuesday, the Netflix series out now. On Twitter @moistboyspod Instagram @moistboyspodcast Support us at Patreon.com/moistboyspodcast Shop merch: http://tee.pub/lic/mwAtwpH6_FM All our links here: Linktr.ee/moistboyspodcast

There's too many cooks, but we roll along with it anyway, as Josh, Kyle, Jonathan, Harley, Heather, and Yoshua take a trip to the future Mars. Are Nord keyboards crap now? Is Mark Zuckerberg's floating head ruling over a blighted Earth? Find out! On Twitter @moistboyspod Instagram @moistboyspodcast Support us at Patreon.com/moistboyspodcast Shop merch: http://tee.pub/lic/mwAtwpH6_FM All our links here: Linktr.ee/moistboyspodcast

We begin 2020 by looking back at some of the highlights from 2019 including conversations with Turing award winners, Yoshua, Bengio and Yann Lecun, as well as with the father of reinforcement learning, Rich Sutton. Our guests consider applying machine learning to the climate crisis; competition between the U S and China for dominance in AI; and the future of machine learning through various kinds of unsupervised learning.

Today we continue our 2019 NeurIPS coverage, this time around joined by Blake Richards, Assistant Professor at McGill University and a Core Faculty Member at Mila. In our conversation, we discuss: His invited talk at the Neuro-AI Workshop “Sensory Prediction Error Signals in the Neocortex.”  His recent studies on two-photon calcium imaging, predictive coding, and hierarchical inference. Blake’s recent work on memory systems for reinforcement learning.  The complete show notes for this episode can be found at twimlai.com/talk/331. Make sure you head over to twimlai.com/neurips2019 to follow along with this series!

Hmm.. niatnya sih bareng Yoshua ngomongin Malam Minggu tapi karena emang ini anak sama sama random jadi ngalor ngidul ngomongin hal hal yang gak pernah gue bahas berdua. Follow Twitter, Instagram, Youtube, Spotify: Yoshua Maringka --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

This week we’re exploring if and how AI can help build a sustainable future. From solving climate change to improving health care, AI is being seen as a technology that can solve some of the world’s biggest problems. But can AI really save us? How can we be sure that AI for Good initiatives are actually helping the people they’re trying to reach? What role can, or should, AI practitioners play in finding solutions? Urvashi Vaneja explains why we should be skeptical of AI for Good initiatives that claim to be a cure-all and she shows how to start thinking constructively about how to do better. Sherif Elsayed-Ali shows how AI for Good can help scale the positive impact of human rights organizations and also why we need to expand our current understanding of human rights. Yoshua Bengio reflects on his recent research into different ways AI can be used to mitigate against and adapt to a changing climate. Yoshua also shares why he decided to use his machine learning expertise to try and solve climate change — and how others in the machine learning community can help, too. AI for Good Summit  UN Sustainable Development Goals  Tandem Research AI for All: 10 Social Conundrums for India: Working Paper - Tandem Research Artificial Intelligence apps risk entrenching India’s socio-economic inequities India’s healthcare: Private vs public sector - Aljazeera Sherif Elsayed-Ali - Twitter Amnesty Tech - Twitter Universal Declaration of Human Rights Training a single AI model can emit as much carbon as five cars in their lifetime - MIT Technology Review Tackling Climate Change with Machine Learning - Bengio et al., arXiv Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks - Schmidt et al., arXiv Use machine learning to find energy materials - Nature Additional Links AI-enabled human rights monitoring - Sherif Elsayed-Ali & Tanya O'Carroll Climate Change: How Can AI Help? - Alexandre Lacoste   -------------   Cette semaine, nous examinons si et comment l’IA peut aider à bâtir un avenir durable. De la résolution du changement climatique à l’amélioration des soins de santé, l’IA est perçue comme une technologie qui peut résoudre certains des problèmes les plus importants du monde. Mais l’IA peut-elle vraiment nous sauver? Comment pouvons-nous être sûrs que les initiatives d’IA pour le bien aident réellement les personnes qu’elles essaient d’atteindre? Quel rôle les praticiens de l’IA peuvent-ils, ou devraient-ils, jouer dans la recherche de solutions? Urvashi Vaneja explique pourquoi nous devrions être sceptiques à l’égard des initiatives d’IA pour le bien qui prétendent être un remède universel, et elle montre comment commencer à penser de manière constructive à la façon de faire mieux. Sherif Elsayed-Ali montre comment l’IA pour le bien peut aider à mesurer l’effet positif des organisations de défense des droits de la personne et aussi pourquoi nous devons élargir notre compréhension actuelle des droits de la personne. Yoshua Bengio réfléchit à ses recherches récentes sur les différentes façons dont l’IA peut être utilisée pour atténuer les changements climatiques et s’y adapter. Yoshua explique également pourquoi il a décidé d’utiliser son expertise en apprentissage machine pour essayer de résoudre le problème du changement climatique, et comment d’autres membres de la communauté de l’apprentissage machine peuvent également aider. Sommet sur l’IA pour le bien  Objectifs de développement durable des Nations Unies   Recherche en tandem L’IA pour tous : 10 énigmes sociales pour l’Inde : Document de travail – Recherche en tandem Les applications d’intelligence artificielle risquent d’enraciner les inégalités socio-économiques de l’Inde Les soins de santé en Inde : Secteur privé vs secteur public – Aljazeera Sherif Elsayed-Ali – Twitter Amnesty Tech – Twitter Déclaration universelle des droits de l’homme Former un seul modèle d’IA peut émettre autant de carbone que cinq voitures dans leur

This week I talk to the Bengio brothers, Samy and Yoshua, in their first interview together. Yoshua recently won the Turing Award with Geoff Hinton and Yann Lecun, while Samy leads a team of researchers at Google Brain. The brothers are well known to people who work in machine learning, but few know how intertwined their professional lives have been. They talked about their unconventional parents and their early collaboration on neural network research, as well as what they see as the challenges ahead.

Espero les guste este episodio. El tema es el Guion de radio, integrantes, Gustavo, Yoshua, Abraham, Leticia.

The weekly podcast looking around the Short Film community. follow/share/live/review etc 
@ShortFilmPod on Twitter/Facebook/Instagram 
e- mail me at shortfilmpodcast@gmail.com
 Produced & Present by @ronanfromcork
 ** All feedback would be gratefully accepted** Music throughout the podcast by Esbjörn Svensson Trio Festivals mentioned…
 Belfast Film Festival [Northern Ireland] — Fastnet Film Festival [Ireland] — Manchester Film Festival [England] — New Renaissance Film Festival [England, The Netherlands] — Portuguese International Film Festival [Portugal] — Shortwaves [Poland] Films mentioned… 100% pbc — Fusy — Good Girls — Undressing My Mother — Nomad — The Silent Child — Yoshua

 Filmmakers mentioned…. Jack Cowhig — Ken Wardrop — Mathew Castellanos — Myles O’Reilly — Niamh McKeown — Oh F*** — Zoe Tweedy
 


314: In this interview, Yoshua Bengio, discusses World Class IT Principle One, People, and World Class Principle Five, External Partnerships. Some of the topics discussed include: Supervised verses unsupervised deep learning The heart of deep learning: disentangled representations The genesis and mission of Element AI Exploratory AI research verses applied AI research The development of the Montreal Institute of Learning Algorithms (MILA) The significance Yoshua places on supportive and collaborative cultures The evolution of AI in Montreal Yoshua’s concerns bout lethal autonomous weapons (LAWs)

In this episode, Free sits down with director/producer Matthew Castellanos to talk his new film "Yoshua," Tyler the Creator's "Nuts + Bolts" and more.

In this episode, Byron and Yoshua talk about knowledge, unsupervised learning, how the brain learns, creativity, and machine translation. Episode 1: A Conversation with Yoshua Bengio

In this episode, Byron and Yoshua talk about knowledge, unsupervised learning, how the brain learns, creativity, and machine translation. Episode 1: A Conversation with Yoshua Bengio

In this episode, Byron and Yoshua talk about knowledge, unsupervised learning, how the brain learns, creativity, and machine translation. Episode 1: A Conversation with Yoshua Bengio

안녕하세요. 오늘은 지난 시간에 이어, 몇 년사이에 큰 이슈가 되고 있는 인공지능 딥러닝에 대한 이야기를 간략히 소개해 보겠습니다. 이 내용은 BIM학회에 '인공지능 딥러닝 기술 동향 및 구현 사례'로 소개된 글의 일부 내용입니다. CNN, RNN, LSTM, GAN과 같은 대표적인 딥러닝 신경망 종류 및 3차원 스캔과 관련된 CNN활용 사례 등을 소개합니다.No.70 Podcast 방송 - 인공지능 딥러닝 기술 소개 및 사례소개된 부분에 대한 좀 더 상세한 내용은 다음 레퍼런스에서 확인할 수 있습니다. 1. Daddy maker, 텐서플로우 최신버전 설치 및 개념2. Daddy maker, 텐서플로우 MNIST 딥러닝 및 텐서보드 그래프 가시화3. BIM principle, 2017, 페이스북 딥러닝 CNN 기반 오픈소스 번역 기술 CSSL4. 딥러닝 Hello World - MNIST, CIFAR-10 데이터베이스 구조와 이미지넷5. Konstantin Lackner, 2016, Composing a melody with long-short term memory (LSTM) Recurrent Neural Networks, Institute for DataProcessing Technische Universitat Munchen6. Patrick Hebron, 2016, Unsupervised Learning, patrickhebron.com7. Alec Radford & Luke Metz, Soumith Chintala, 2016, Unsupervised Representation Learning with Deep Convolutional GenerativeAdversarial Network8. Adam Santoro외, 2017, A simple neural network module for relational reasoning, DeepMind9. Microsoft, Going Deep: Convolutional Neural Networks10. The Asimov Institute, 2016, THE NEURAL NETWORK ZOO11. Adit Deshpande, 2016, The 9 Deep Learning Papers You Need To Know About CNN12. Adrian Rosebrock, 2016, My Top 9 Favorite Python Deep Learning Libraries13. Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin, 2017.5, A novel approach to neural machine translation,FAIR(Facebook AI Research Group)14. Adit Deshpande, A Beginner's Guide To Understanding Convolutional Neural Networks, UCLA15. Rob Verger, 2017.5, Facebook created a faster, more accurate translation system using artificial intelligence, Popular Science16. James Vincent, 2017.5.9, Facebook says its prototype translation technique is nine times faster than rivals, THE VERGE17. Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin, 2017.5, Convolutional Sequence to Sequence Learning,FAIR(Facebook AI Research Group)18. Charles R. Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas, 2016, PointNet: Deep Learning on Point Sets for 3D Classification andSegmentation19. Sepp H., Jurgen S, 1997, Long short-term memory, Neural Computation. 9 (8) ,pp.1735–178020. Goodfellow. Ian J, Pouget-Abadie. J, Mirza. M, Xu. Bing, Warde-Farley. David, Ozair. Sherjil, Courville. Aaron, Bengio. Yoshua, 2014,Generative Adversarial Networks